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Mumbai metro and broad skilllist increase candidate competition, but role is specialized.
Strong ML/AI, MLOps and platform leadership requirements limit cross-industry transferability.
Mandatory 12+ years and extensive ML/MLOps, cloud, LLMs, and leadership requirements create strict shortlist filters.
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Lead AI/ML operational and platform engineering functions to ensure technical excellence and drive AI adoption across business units.
Provide architecture guidance, technical oversight, and mentorship to AI Engineering, Data Engineering, and Platform teams.
Lead evaluation, integration, and optimization of AI/ML tools, cloud services, infrastructure, and ensure governance and compliance.
Minimum 10 years in IT/software engineering/data science with at least 5 years directly in AI/ML technologies in production.
At least 3 years in technical leadership, architecture, or senior engineering role.
Experience designing and implementing large-scale AI/ML solutions, cloud-native architectures, DevOps, CI/CD, and containerized deployments.
Location: Mumbai, Maharashtra, India; Must possess strong skills in Machine Learning frameworks, AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), Large Language Models, Cloud Platforms, Kubernetes/Docker, MLOps tools, data engineering, monitoring tools, and programming languages (Python, Java, Scala).
Mid-senior level professional with demonstrated capability leading AI/ML platform engineering and operational excellence in production environments.
Experienced in bridging business requirements with technical AI/ML solution designs and managing cross-functional technical teams.
Depth in cloud-native AI/ML architectures, container orchestration, and operational tooling for monitoring, governance, and continuous improvement.